The Epidemiology of Diagnostic Error in Emergency Care in the United States and the Association with Patient Outcomes and Healthcare Costs
Full Description
Diagnostic error is thought to be common, costly, and associated with substantial patient harm
in the United States (U.S.). A recent report by the Agency for Healthcare Research and Quality
(AHRQ) highlighted the importance of addressing diagnostic error in emergency care and called
for additional research examining contemporary diagnostic errors rates in U.S. emergency
departments (EDs). ED visits are common, with 1 in 5 Americans visiting the ED, leading to over
130 million ED visits annually. Diagnostic accuracy for emergency conditions is essential for
optimal patient outcomes. Yet, the very nature of the ED, including unpredictable patient
volume, limited time and available information, as well as frequent interruptions, can make
diagnostic accuracy in the ED challenging. While there has been substantial attention paid to
the variation in the quality of emergency care, there has been relatively less research on
diagnostic safety in the ED, as highlighted by the recent AHRQ report. This project will use
representative national claims data to provide detailed evidence on the landscape of diagnostic
error in U.S. EDs. We will quantify the rate of diagnostic error for high-risk emergency conditions
as well as the common symptoms associated with these diseases. Additionally, we will examine
the degree to which diagnostic error in emergency care is associated with patient harm. We will
identify the patient, clinician, and hospital factors associated with greater risk of diagnostic error.
Finally, we will examine if having an ambulatory follow-up visit after an ED diagnostic error can
mitigate the harms associated with misdiagnosis. This national study will enable frontline
clinicians and policymakers to understand the extent of diagnostic error in U.S. EDs and the
factors that may be targeted for quality improvement efforts to address this important public
health problem.
Grant Number: 5R01HS029781-03
NIH Institute/Center: AHRQ
Principal Investigator: Laura Burke
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